该职位来源于猎聘 About The Role Key responsibilities As a Data Engineer Intern, your role will encompass: Identify optimization opportunities in the existing Identify optimization opportunities in the existing codebase, test, present and deploy solutions Collaborating with the consulting and data team to provide comprehensive services to clients Using your technical abilities to assist in the transformation of clients' marketing department Help securing delivery on projects with Data Engineer Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client Being a good team player and a great tech person Demonstrating the skill and credibility required to ensure the success of our clients' initiatives Researching and developing new technical approaches to address problems efficiently Experience working with Big Data technologies such as Hadoop, Spark, Kafka... Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) Being able to adapt your solutions and approaches to technical environment (security, access,tools) Understanding business requirement and transforming them into technical solutions using Data Engineering stack. Handling massive data transformation and providing optimize solution. Ability to adapt, learn, grow and deliver as per client's architecture. Continuous learning attitude in fast paced environment. What we are looking for Bachelor's degree in Software Engineering, Computer Engineering, or related fields Solid knowledge of computer science, data processing and data architecture and provide robust scalable solution to client. Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact. Excellent Skills in Python, Linux, SQL, Spark, Hive BigQuery/ Redshift, Devops and Javascript is a plus Understand Big Data Architecture and purpose of relevant tools Stay upto date on latest data engineering tool available in the industry and following best engineering practise. Cloud knowledge on any of the cloud provider (GCP, AWS, Azure) Good analytics and any reporting tool for data analysis. Ability to flag any potential risk on current architecture and provide mitigation solution.